## Miller-Orr Cash Management Model
### Core Idea
When cash flows are uncertain and stochastic (random), Baumol's deterministic model breaks down. The Miller-Orr model applies control theory to such random cash flows.
It is a control-limit model that determines the timing and size of transfers between an investment account and a cash account.
### The Three Limits
```
Cash Balance
|
H |-------- Upper Control Limit
|
|
Z |-------- Return Point
|
|
0 |-------- Lower Control Limit
```
- h (Upper Limit): Cash ceiling
- z (Return Point): Target cash balance after a transaction
- 0 (Lower Limit): Cash floor
### How the Model Works
1. When cash balance hits 'h' (upper limit):
- Transfer (h − z) to marketable securities.
- Cash drops back to z.
2. When cash balance hits '0' (lower limit):
- Liquidate marketable securities equal to z and move to cash.
- Cash rises back to z.
3. When cash stays between 0 and h (in the bands (0, z) and (z, h)):
- No transactions are made.
- Cash fluctuates randomly.
### How the Limits Are Set
The high and low limits depend on:
- Fixed cost per securities transaction
- Opportunity cost of holding cash (interest forgone)
- Degree of likely fluctuations in cash balances (variance)
These limits are designed to satisfy cash demands at the lowest possible total cost.
### Why Miller-Orr Over Baumol
| Feature | Baumol | Miller-Orr |
|---|---|---|
| Cash flow assumption | Steady, predictable | Random (stochastic) |
| Transactions | Equal-size, regular | Triggered by limits |
| Control variables | One (Q*) | Three (h, z, 0) |